1. Workspaces

• What is: It’s the container that holds all of your log-data.
• You can think of it like a database. All logs and metrics will be stored, and then managed to allow for analysis.

2. Logs

• What does: the main area for querying and analyzing collected logs.
• Explanation Can run queries for filtering, visualizing, and investigating logs.

3. Data Collec­tion

• This is what it is: The gathering of logs or telemetry, from Azure Resources, On-Premises, and other sources.
• Explanation ensures you have all the necessary information for analysis.

4. Solutions

• Described as: pre-configured tools, dashboards, and scenarios.
• Explanation You can quickly create monitoring for Azure Security Center and Application Insights.

5. Workbooks

• Interactive dashboards (and reports)
• Explanation Visualizations that combine logs with metrics and other information for better reporting and insights.

6. Alerts

• What does it do? It triggers notifications based upon specific query conditions or results.
• As an example, you can get alerts in case server errors spike up or if your disk space is getting low.

7. KQL Query Language

• Specialized language used for writing queries to log data.
• Explanation This helps you retrieve, filter, analyze logs and efficiently.

8. DataSources

• What is: the services and resources collected from logs (Azure VMs AKS Windows/Linux server, etc.). ).
• These logs feed Log Analytics.

9. Solutions Gallery

• A collection of pre-built solution and dashboards.
• Quickly add monitoring setups that are common without building the entire system from scratch.

10. API & Automation

• Log Analytics Programmatic Interfaces: What is HTML0?
• Explanation Is used to automate data retrieval, querying and integration with other systems.